Optimization and Simulation
- Annealing
- Utilities
- accept_func_default — The default Simulated Annealing acceptation function.
- accept_func_vfsa — The Very Fast Simulated Annealing acceptation function.
- compute_initial_temp — A SA function which allows to compute the initial temperature of the simulated annealing
- neigh_func_csa — The classical neighborhood relationship for the simulated annealing
- neigh_func_default — A SA function which computes a neighbor of a given point
- neigh_func_fsa — The Fast Simulated Annealing neighborhood relationship
- neigh_func_vfsa — The Very Fast Simulated Annealing neighborhood relationship
- temp_law_csa — The classical temperature decrease law
- temp_law_default — A SA function which computed the temperature of the next temperature stage
- temp_law_fsa — The Szu and Hartley Fast simulated annealing
- temp_law_huang — The Huang temperature decrease law for the simulated annealing
- temp_law_vfsa — This function implements the Very Fast Simulated Annealing from L. Ingber
- optim_sa — A Simulated Annealing optimization method
- Utilities
- Генетические алгоритмы
- Algorithms
- optim_ga — A flexible genetic algorithm
- optim_moga — multi-objective genetic algorithm
- optim_nsga — A multi-objective Niched Sharing Genetic Algorithm
- optim_nsga2 — A multi-objective Niched Sharing Genetic Algorithm version 2
- Utilities
- coding_ga_binary — A function which performs conversion between binary and continuous representation
- coding_ga_identity — A "no-operation" conversion function
- crossover_ga_binary — A crossover function for binary code
- crossover_ga_default — A crossover function for continuous variable functions
- init_ga_default — A function a initialize a population
- mutation_ga_binary — A function which performs binary mutation
- mutation_ga_default — A continuous variable mutation function
- output_ga_default — A simple output function used for logging purposes
- pareto_filter — A function which extracts non dominated solution from a set
- selection_ga_elitist — An 'elitist' selection function
- selection_ga_random — A function which performs a random selection of individuals
- Algorithms
- Nonlinear Least Squares
- Neldermead
- fminsearch — Computes the unconstrained minimum of given function with the Nelder-Mead algorithm.
- neldermead — Provides direct search optimization algorithms.
- overview — An overview of the Nelder-Mead toolbox.
- nmplot — Provides direct search optimization algorithms.
- optimget — Queries an optimization data structure.
- optimplotfunccount — Plot the number of function evaluations of an optimization algorithm
- optimplotfval — Plot the function value of an optimization algorithm
- optimplotx — Plot the value of the parameters of an optimization algorithm
- optimset — Configures and returns an optimization data structure.
- Optimization base
- optimbase_cget — Returns the value for the given key.
- optimbase_checkbounds — Checks the bounds.
- optimbase_checkcostfun — Checks the cost function.
- optimbase_checkx0 — Checks initial guess.
- optimbase_configure — Configures the current object.
- optimbase_destroy — Resets the historyfopt and historyxopt fields of an object.
- optimbase_function — Calls cost function.
- optimbase_get — Returns the value for the given key.
- optimbase_hasbounds — Checks if the bounds are specified.
- optimbase_hasconstraints — Checks if the constraints are specified.
- optimbase_hasnlcons — Checks if the non linear constraints are specified.
- optimbase_histget — Returns the history value.
- optimbase_histset — Set the history value at given iteration for the given key.
- optimbase_incriter — Increments the number of iterations.
- optimbase_isfeasible — Checks if the point satisfies constraints.
- optimbase_isinbounds — Checks if the given point satisfies bounds constraints.
- optimbase_isinnonlincons — Checks if the given point satisfies the non-linear constraints.
- optimbase_log — Prints the given message.
- optimbase_new — Creates a new optimization object.
- optimbase_outputcmd — Calls back user's output command.
- optimbase_outstruct — Returns a data structure with type T_OPTDATA.
- overview — An overview of the Optimbase toolbox.
- optimbase_proj2bnds — Returns a projection point.
- optimbase_set — Set the value for the given key.
- optimbase_stoplog — Prints the given stopping message.
- optimbase_terminate — Checks if the algorithm is terminated.
- Simplex
- optimsimplex_center — Computes the center.
- optimsimplex_check — Checks the consistency of internal data
- optimsimplex_compsomefv — Computes the values of the function at vertices points.
- optimsimplex_computefv — Computes the values of the function at vertices points.
- optimsimplex_deltafv — Computes the difference of function values.
- optimsimplex_deltafvmax — Computes the difference of function value between the highest and the lowest vertices.
- optimsimplex_destroy — Destroys the simplex object.
- optimsimplex_dirmat — Computes the directions.
- optimsimplex_fvmean — Computes the mean.
- optimsimplex_fvstdev — Computes the standard deviation.
- optimsimplex_fvvariance — Computes the variance.
- optimsimplex_getall — Returns all the data contained in the simplex object.
- optimsimplex_getallfv — Returns all the function values contained in the simplex object.
- optimsimplex_getallx — Returns all the coordinates.
- optimsimplex_getfv — Returns the function value at given index.
- optimsimplex_getn — Returns the dimension of the space.
- optimsimplex_getnbve — Gets the number of vertices of the simplex.
- optimsimplex_getve — Gets the vertex at the given index.
- optimsimplex_getx — Gets the coordinates of the vertex at given index.
- optimsimplex_gradientfv — Returns the simplex gradient of the function.
- optimsimplex_new — Creates a new simplex object.
- overview — An overview of the Optimsimplex toolbox.
- optimsimplex_reflect — Returns the reflected simplex object.
- optimsimplex_setall — Sets all in the simplex object.
- optimsimplex_setallfv — Sets all the function values.
- optimsimplex_setallx — Sets all the coordinates.
- optimsimplex_setfv — Sets the function value at given index.
- optimsimplex_setn — Sets the dimension of the space.
- optimsimplex_setnbve — Sets the number of vertices of the simplex.
- optimsimplex_setve — Sets the data at given index in the current simplex.
- optimsimplex_setx — Sets the coordinates at given index into the current simplex.
- optimsimplex_shrink — Shrinks the simplex.
- optimsimplex_size — Computes the size.
- optimsimplex_sort — Sorts the simplex.
- optimsimplex_xbar — Returns the center of n vertices.
- Semidefinite Programming
- aplat — Flattens a list.
- lmisolver — Solve linear matrix inequations.
- lmitool — Graphical tool for solving linear matrix inequations.
- pack — Compress a list of block-diagonal symmetric matrices.
- recons — Inverse function for aplat.
- semidef — Solve semidefinite problems.
- unpack — Uncompress a list of block-diagonal symmetric matrices.
- fsolve — find a zero of a system of n nonlinear functions
- karmarkar — Solves a linear optimization problem.
- NDcost — generic external for optim computing gradient using finite differences
- optim — non-linear optimization routine
- qld — linear quadratic programming solver
- qp_solve — linear quadratic programming solver builtin
- qpsolve — linear quadratic programming solver
- readmps — Reads a Linear Program from a MPS file.
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